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Marketing & SaaS · Global (US, UK, LK)
PageIQ — AI SEO & answer-engine visibility
How we scoped an AI-assisted SEO and AEO product for teams competing in Google and AI-powered search.
· Based on PageIQ
This case study describes how we designed and built an ADSA Labs product. Named client engagements will be added here when we are cleared to share them.
Challenge
Marketing teams were tracking rankings in one tool, rewriting content in another, and still losing visibility in ChatGPT-style answer engines. They needed one place to measure, suggest, and report — without a full agency retainer.
Approach
- Defined MVP around audit → recommendations → tracking, deferring heavy crawler infrastructure to phased releases.
- Integrated OpenAI-style APIs with strict prompt templates and human-readable reports for non-technical owners.
- Designed PostgreSQL schemas for sites, keywords, and snapshot history so billing tiers map cleanly to usage.
- Built the UI in Next.js and TypeScript with role-ready layouts for future team accounts.
Outcome
- Unified SEO and AEO workflows in a single dashboard concept.
- Clear path from free audit to paid monitoring without re-architecting data.
- Stack aligned with ADSA Labs production patterns: Next.js, Supabase/PostgreSQL, Tailwind.
Technologies
Next.js
TypeScript
OpenAI
PostgreSQL
Tailwind CSS